Tim Humphrey
Impact in
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- RNA Research and Splicing
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA regulation and disease
Papers in
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- Microtubule and mitosis dynamics 3
-
- Fungal and yeast genetics research 4
- DNA Repair Mechanisms 3
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 1
- Co-authors
- Isabelle Dunand-Sauthier (3 shared papers)Amanda K. Pearce (2 shared papers)Gavin Brooks (2 shared papers)Chris J. Norbury (2 shared papers)Richard Francis Crane (2 shared papers)Carol A Walker (2 shared papers)Juan Mata (1 shared paper)Adam T. Watson (1 shared paper)
- Journals
- Molecular Biology of the Cell (3 papers)Current Biology (1 paper)Trends in Genetics (1 paper)Mutation research. Fundamental and molecular mechanisms of mutagenesis (1 paper)Eukaryotic Cell (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Tim Humphrey
12 papers receiving 402 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 345
- Aging 8
- Cell Biology 70
- Cancer Research 21
- Plant Science 45
Countries citing papers authored by Tim Humphrey
This map shows the geographic impact of Tim Humphrey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Humphrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Humphrey more than expected).
Fields of papers citing papers by Tim Humphrey
This network shows the impact of papers produced by Tim Humphrey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Humphrey. The network helps show where Tim Humphrey may publish in the future.
Co-authors
The 19 scholars most cited alongside Tim Humphrey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 68 | |
| 2 | 2003 | 58 | |
| 3 | 2002 | 48 | |
| 4 | 1998 | 47 | |
| 5 | 2005 | 45 | |
| 6 | 2000 | 40 | |
| 7 | 2000 | 31 | |
| 8 | Cell cycle control: mechanisms and protocols | 2005 | 30 |
| 9 | 2004 | 22 | |
| 10 | 1995 | 17 | |
| 11 | 1995 | 6 | |
| 12 | 2004 | 3 |
About Tim Humphrey
Tim Humphrey is a scholar working on Cell Biology, Molecular Biology, Biochemistry, Computer Networks and Communications and Artificial Intelligence, having authored 12 papers that have together received 415 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), DNA Repair Mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), AI-based Problem Solving and Planning (1 paper), RNA modifications and cancer (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Molecular Biology (345 citations), Aging (8 citations), Cell Biology (70 citations), Cancer Research (21 citations) and Plant Science (45 citations). Tim Humphrey has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Isabelle Dunand-Sauthier, Amanda K. Pearce, Gavin Brooks, Chris J. Norbury, Richard Francis Crane, Carol A Walker, Juan Mata, Adam T. Watson, Jürg Bähler and Antony M. Carr. Their work appears in journals such as Molecular Biology of the Cell, Current Biology, Trends in Genetics, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Eukaryotic Cell.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.